Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition
-
Updated
May 9, 2023 - Python
Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition
Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.
RPA(Robotic Process Automation) UiPath 實戰開發範例
TF2 implementation of Text recognition CRNN
This project offers an efficient method for identifying and recognizing handwritten text from images. Using a Convolutional Recurrent Neural Network (CRNN) for Optical Character Recognition (OCR), it effectively extracts text from images, aiding in the digitization of handwritten documents and automated text extraction.
Convolutional Recurrent Neural Network (CRNN) for reading Captchas(驗證碼)
Tuning, training, and transfer learning CRNN models for handwritten text words.
Implementation of the 2019 paper 'Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction'
My implementations of different deep learning architectures for text recognition with TensorFlow 2.
CRNN implementation with TensorFlow 2
Raw Audio End-to-End Deep Learning Architectures for Sound Event Detection
This repository contains code for Scene Text OCR following the famous CRNN model. The detection part is handled by EAST and the recognition is done by CRNN.
Add a description, image, and links to the crnn-tensorflow topic page so that developers can more easily learn about it.
To associate your repository with the crnn-tensorflow topic, visit your repo's landing page and select "manage topics."